244 citations · 757 across the 10 of their papers we have counts for
14 papers
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Zhiyuan Zhao, Tao Han, Junyu Gao +2
Drones shooting can be applied in dynamic traffic monitoring, object detecting and tracking, and other vision tasks. The variability of the shooting location adds some intractable…
Pixel-wise Crowd Understanding via Synthetic Data
Qi Wang, Junyu Gao, Wei Lin +1
Crowd analysis via computer vision techniques is an important topic in the field of video surveillance, which has wide-spread applications including crowd monitoring, public safety…
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Di Hu, Lichao Mou, Qingzhong Wang +4
Visual crowd counting has been recently studied as a way to enable people counting in crowd scenes from images. Albeit successful, vision-based crowd counting approaches could fail…
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao, Junyu Gao, Qingjie Liu +2
Accurately estimating the number of objects in a single image is a challenging yet meaningful task and has been applied in many applications such as urban planning and public safet…
Pixel-Level Self-Paced Learning for Super-Resolution
Wei. Lin, Junyu. Gao, Qi. Wang +1
Recently, lots of deep networks are proposed to improve the quality of predicted super-resolution (SR) images, due to its widespread use in several image-based fields. However, wit…
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han, Junyu Gao, Yuan Yuan +1
For pixel-level crowd understanding, it is time-consuming and laborious in data collection and annotation. Some domain adaptation algorithms try to liberate it by training models w…